Data Science & Analytics

Overview

Data is the new oil, and finding professionals who can extract insights from data is paramount.
We recruit across the entire data ecosystem.

Roles We Fill

1. Data Scientists & Machine Learning Engineers
2. Data Engineers & Data Architects
3. Business Intelligence Analysts
4. Analytics Managers & Heads of Analytics
5. AI/ML Researchers
6. MLOps Engineers

Technologies & Tools

Languages & Frameworks: Python, R, TensorFlow, PyTorch, scikit-learn, Keras

Big Data: Hadoop, Spark, Kafka, Hive, Pig

BI Tools: Tableau, Power BI, Looker, QlikView

Databases: SQL, NoSQL, MongoDB, Cassandra, Redis

Cloud ML: AWS SageMaker, Azure ML, Google AI Platform

Impact

1. Placed Data Science teams for e-commerce analytics platforms
2. Recruited ML engineers for AI-driven product companies
3. Built BI teams for enterprise reporting solutions